The engineers who design the model also wire the devices, build the pipeline, and run it in production. Six practices that ship as one.
Systems that read and write the language your organisation already runs on — grounded in your data, with every claim traceable to its source.
The predictive layer: what will fail, what will sell, what is defective, what is about to go wrong — delivered early enough to act on.
Our oldest practice and still the largest. Intelligence where connectivity is unreliable and latency is unaffordable — offline-first by design, because the plant does not stop when the link does.
The unglamorous half that decides whether the other three survive their first year in production.
The channels customers actually use. Voice and chat that resolve the routine contact end to end, and analytics over everything said in the ones that escalate.
Someone has to build the interface, harden the architecture, and answer the pager. Usually the same team that built the model.
Watch Most AI programmes stall between the notebook and the network. We staff a single team across every practice precisely so that gap never becomes someone else’s problem.
AWS Advanced Tier Services Partner, with competencies in Generative AI, Machine Learning, and IoT — plus certified delivery teams on Google Cloud and Azure.
| Platform | Standing | What we run there | Team |
|---|---|---|---|
| AWS | ADVANCED TIER | Bedrock, SageMaker, IoT Core, Greengrass, Glue, Kinesis — GenAI, ML, and IoT competencies | Certified |
| Google Cloud | PARTNER | Vertex AI, Gemini, BigQuery — model training, serving, and analytics | Certified |
| Microsoft Azure | CERTIFIED | Azure OpenAI and data services for enterprises standardised on Microsoft | Certified |
| Anthropic | FRONTIER MODELS | Claude for advanced reasoning inside agentic workflows and evaluation harnesses | In production |
Ten systems that pay back regardless of what you make or sell. They are usually the fastest route to a first measured win.
Sprint zero answers that in two weeks — a ranked portfolio, a value model per candidate, and a pilot plan with the KPI agreed in advance.
